PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.04 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (379 utterances, 1,645 words searched).

  1. … a week we didn't come and he said # uh he quoted you as saying don't be too surprised <if you were a blonde the next> [//] . MEL · eng_USA_Brown/sarah105.cha, line 329 · Sarah 4;04
  2. oh that wouldn't be right either . FAT · eng_USA_Brown/sarah105.cha, line 997 · Sarah 4;04
  3. she'll be a good basketball player . MEL · eng_USA_Brown/sarah105.cha, line 1273 · Sarah 4;04
  4. that can't be rosy cheeks . MOT · eng_USA_Brown/sarah105.cha, line 1331 · Sarah 4;04
  5. oh you won't be here next week # will you Don ? MOT · eng_USA_Brown/sarah105.cha, line 1370 · Sarah 4;04
  1. eng_USA_Brown/sarah105.cha, line 329 · Sarah, 4;4.18
    CHIshe put her dress away somewhere .
    MELy(ou) know I never saw you with brown hair .
    MEL*MEL: I think um the first time that I came # Kent called me to say that we were coming # or I guess it was a week we didn't come and he said # uh he quoted you as saying don't be too surprised <if you were a blonde the next> [//] .
    MEL+" if I'm a blonde # I'm in the dyeing mood .
    MELso then # lo and behold # there you were with blonde hair .
  2. eng_USA_Brown/sarah105.cha, line 997 · Sarah, 4;4.18
    CHIhow ?
    FATwhy don't you trace the three ?
    FAT*FAT: oh that wouldn't be right either .
    CHIno .
    FATwould it ?
  3. eng_USA_Brown/sarah105.cha, line 1273 · Sarah, 4;4.18
    FATskinny arms .
    MOTdo you want a cup a tea ?
    MEL*MEL: she'll be a good basketball player .
    MOTMelissa # you want a cup a tea ?
    MELno # thank+you .
  4. eng_USA_Brown/sarah105.cha, line 1331 · Sarah, 4;4.18
    CHIsee # one nose .
    MOTwhat's that ?
    MOT*MOT: that can't be rosy cheeks .
    CHIyes # it is .
    MOTrosy cheeks down there ?
  5. eng_USA_Brown/sarah105.cha, line 1370 · Sarah, 4;4.18
    CHIyou lent me another pencil .
    MELlet's see her rosy cheeks .
    MOT*MOT: oh you won't be here next week # will you Don ?
    FATxxx .
    CHIhey # one's red # one's black .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Sarah eng_USA_Brown3.04
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah105.chaSarah 4;4.181,645553.04

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. be5 · 100.0%